I want to improve my competitiveness for grad school admissions. My intended area of study is AI/Machine Learning and possibly other math and statistics heavy fields of Computer Science.
My undergrad math grades were terrible, mostly C's and a few B's. Although my mathematical maturity improved tremendously after years passed, as you will guess I have no proof for this. So I decided to take a math class to show my skills to adcoms.
Now I have to choose exactly one from the two options available:
- an undergrad MATH level mathematical analysis class following through walter rudin's PMA book or
- a graduate EE level Random Processes class about stochastic processes following through Ross.
So from an admissions comittee member perspective, which class do you value more for judging a students mathematical maturity?